SVD.

Amedeo Capozzoli1, Ilaria Catapano2, Eliana Cinotti1,2

  • 1Dipartimento di Ingegneria Elettrica e delle Tecnologie dell'Informazione (DIETI), Università di Napoli Federico II, Via Claudio 21, I 80125 Napoli, Italy.

PubMed
概括

我们介绍了一种深度学习方法,即学习单数值分解 (L-SVD),用于反向问题. 在重建源方面,L-SVD优于传统的截断式SVD (TSVD),特别是在复杂的空间变化方面.

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